Title: Sustainable supplier selection by way of managing knowledge: a case of the automotive industry

Authors: Ahmad Jamalian; Abdolhamid Safaei Ghadikolaei; Mohammad Zarei; Rohollah Ghasemi

Addresses: Faculty of Economic and Administrative Sciences, University of Mazandaran, Pasdaran Street, Babolsar 57416-13534, Iran ' Faculty of Economic and Administrative Sciences, University of Mazandaran, Pasdaran Street, Babolsar 57416-13534, Iran ' Department of Corporate Entrepreneurship, Faculty of Entrepreneurship, University of Tehran, Farshi Moghadam (16 St.), North Kargar Ave., Tehran 14174-66191, Iran ' Faculty of Management, University of Tehran, Jalal-e-Al-e-Ahmad and Chamran HWY, Tehran 14155-6311, Iran

Abstract: Knowledge management (KM) is globally known as an enabler for supply chain management (SCM). By developing the literature of 'sustainability' in SCMs, sustainable supplier selections (SSS) have widely been recognised as an important issue. The current research aims at investigating the relationship between knowledge management process capability (KMPC) and SSS in one of the Iranian automobile manufacturer, so called 'SAIPA'. After reviewing the related literature, the research's model was extracted. Meanwhile, well-designed questionnaires were distributed among the 191 SAIPA Corp's experts who have had the adequate understanding of KM. Besides, in this study an applied research has been used as a research method, and a canonical correlation coefficient for collecting the data. Furthermore, cross-sectional study has been utilised. Based on the results, in regards to the SAIPA's SCM, there is a meaningful, as well as positive linkage between KMPC and SSS criteria.

Keywords: supply chain management; SCM; supply chain sustainability; sustainable suppliers selection; SSS; knowledge management process capabilities; KMPC; knowledge acquisition; knowledge application; financial capability; canonical correlation analysis; manufacturing processes; customers value; socio-economic values.

DOI: 10.1504/IJIE.2018.091186

International Journal of Intelligent Enterprise, 2018 Vol.5 No.1/2, pp.125 - 140

Received: 06 Dec 2016
Accepted: 10 Jul 2017

Published online: 05 Apr 2018 *

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